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Multipanel figures3/22/2023 ![]() ![]() Popular computational biology databases such as Reactome ( Jassal et al., 2020), WikiPathways ( Martens et al., 2021), and visualization tools such as Coral ( Metz et al., 2018) and ComplexHeatmap ( Gu et al., 2016) often produce biological images in Scalable Vector Graphics (SVG) format. In the end, we make the online tool publicly available at while releasing the source code at under MIT open-source license. To highlight, the sharable interactive HTML output with zoom-in function is a unique feature not seen in any other similar tools. ![]() It solves stylesheet conflicts of coexisting SVG plots, integrates a rich-text editor, and allows creative design by providing advanced functionalities like image transparency, controlled vertical stacking of plots, versatile image formats, and layout templates. To address the challenge, we developed bioInfograph, a web-based tool that allows users to interactively arrange high-resolution images in diversified formats, mainly Scalable Vector Graphics (SVG), to produce one multi-panel publication-quality composite figure in both PDF and HTML formats in a user-friendly manner, requiring no programming skills. In addition, it is a time-consuming and sometimes frustrating process even for a computationally savvy scientist who frequently takes a trial-and-error iterative approach to get satisfactory results. However, assembling individual plots in different formats from various sources into one high-resolution figure in the desired layout requires mastery of commercial tools or even programming skills. Many fit-for-purpose bioinformatics tools generate plots to interpret complex biological data and illustrate findings. ![]()
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